real time digital oilfield - osisoft...title microsoft powerpoint -...

© Copyright 2020 OSIsoft, LLC1© Copyright 2020 OSIsoft, LLC 1

Real Time Digital Oilfield a game changer in Upstream asset management

L. Cadei, G. Rossi, M. Forte, M. Ghetti, A. Rubanu, D. Vaccari, M. Corti, C. Bottani, V. La Placa, P. Fier

Authors:

© Copyright 2020 OSIsoft, LLC

1. Project Scope

2. PI Asset Connection: eDOF

3. eDOF Integrated Architetture

4. Field Application & Results

5. Conclusions & Further Developments

AGENDA


> 30 000 people

Active in 67 Countries

€ 7.9 blncapex

Exploration & Production

Gas & Power

Decarbonisation: embedded in our

strategy

Refining & Marketing & Chemicals

Innovation in renewables

About ENI


Scope of the Projectbetter decision

making processes

It’s a mature technology adopted by O&G Industry with various names and targets.Eni on‐line solutions is named eDOF and is integrated with PI tools maximizing the support to asset management and Operations in real‐time

Advanced Digital Oilfield


Scope of the Project

1. Monitoring 2. Optimization 3. Prediction and prescription


1. Project Scope





AGENDA


Eni Digital Oilfield: eDOF

eni standard configuration is named

e-DOF The solution is based on the configuration of state‐of‐the art off‐the‐shelf components

All the design, implementation and deployment activities are performed by a team of highly specialized eni people, both from IT and business disciplines, thus incorporating eni Intellectual Property.

eDOF is actually acquiring/calculating more than 350*106 values every day, with an average frequency of 20 sec.

Real time data , KPIs and OWs, advanced simulations , modelling , predictive tools, analytics are integrated in the framework to enable asset production optimization and better decision making

Flexible visualization pages are developed in order to provide to provide all the information to management, engineers and site teams, enhancing their impact on field operations, monitoring, troubleshooting and optimization activities

>


eDOF Highlights The digital transformation plays a key role

in the data analysis for a continuous andefficient management of the subsurfaceand of the process plants

The eDOF (Eni Digital Oil Field) system,allows the collection of signals comingfrom all the deployed sensors, in order tohave a complete monitoring of the overallAsset, from wells and reservoir to point ofsale of products.

2 0 +ASSET

1 3COUNTRY

High and Low frequency data are fundamental forthe comprehension of the behavior of subsurface andtopside processes.

eDOF is developed leveraging on a strong synergybetween business and ICT depts.

eDOF is the main enabler of the digitaltransformation in Eni


1. Project Scope





AGENDA


Standard eDOF Infrastructure

Data from the asset are historicized at HQ Green Data Center

Development of the system from HQ in tight collaboration with BU engineers

Full support from Eni HQ


Green Data Center

70 million billion calculations a second, done with minimal environmental impact (HCP5+HPC4)

52 million billion mathematical operations per second (HPC5)

2,25 MW HPC5’s energy consumption in full operation

TOP 6 most powerful super computer in the world (HPC5)

1 MW power produced by the GDC’s solar panels

14 GWh the Green Data Center’s annual energy consumption

6000 ton CO2 avoided every year


eDOF features: AF central roleRemote HMI DisplayseDOF does not provide automated control butexploits the same data used in the controlroom, storing it with context and structure.Data collected via eDOF can be consumedimmediately for monitoring purposes or on alonger term loop for simulation andoptimization purposes.

Real‐Time analysisDiscipline engineers can have fast access to liveinformation and can provide realtime supportto opertion teams, even from HQ. Self‐servicedashboarding is helping to move towards moreproactive operation management as engineersare more aware of the overall behavior of theAsset.

KPI DashboardsRaw data are elaborated in KPI, OperatingWindow and Integrity OW throughapplication of international standards.These are monitoring tools used toevaluate how well an equipmentis performing compared to normalcondition and to bring focus on criticalasset integrity aspects.

Data export to other applicationsData collected in PI DA are available for specificstudies: they can be used to feed ‐ directly orafter processing ‐ third party applications suchas Prosper, HYSYS, GAP, Big Data Architecute orother simulation/optimization tools.

Mobile Dashboards & NotificationsLeveraging on PI Vision support for mobilebrowsers and customized views for small screendevices, eDOF allows to access important processinformation from any device and from anywhere,providing specific alerts, notifications orworkflows to selected GU staff via SMS or emailto notify signs of abnormal conditions.

Individual Analysis in ExcelIndividual analyses and provision ofcustomized reports are facilitatedthrough PI Datalink software that allowsreal time data gathering, analyzing andreporting leveraging on MS Excelcomputational, graphic and formattingcapabilities.


Production Advanced Monitorig

KPI’s are defined for:• Process• Maintenance• Asset Integrity• Energy Efficiency

KPIEasy variables correlationContinuous monitoringField production optimizationOperating issues prevention

Out of specific

Correct

Warning

If a warning appears on eDOF, an alert mail

will be sent

Operating WindowsProcess equipment (Trayed Columns,

Compressors)Flow Assurance (piping, network)

Direct way to show equipment operability areaOW defined by Project and Industrial Standards

Real‐time app for troubleshooting & debottlenecking


What is a KPI? Define correlations of different variables, KPI, to simplify equipment

performance and integrity evaluation allowing continuous monitoring Optimizing field production Prevent and troubleshoot operating issues

*Applied Criteria• 10009.HTP.PRC.PRG – Process design minimum requirement• GPSA – Gas processors suppliers association• API RP 584 – Integrity operating windows• API RP 14E – Erosional velocityAPI• API RP750 – Management of Process Hazard• API 581 – Risk Based Inspection


What is a OW?

Possibility to monitor the operability range of a single equipment Real time application with online time data for troubleshooting and debottlenecking operations

Operating Windows ( OWs) are bounded systems function of key process parameters in which operations will result in correct and acceptable equipment performance.

Advantages: Simple and direct way to

visualize the range ofoperability of the equipment

Possibility to visualize moreinfo in a single graph

Representative for singleequipment

Design requirement: Necessity to condense all

the influencing parametersin two variables


Advanced Tools

Real‐Time Asset ModelingBuild integrated production system models fed by real‐time data and able to:represent field operating conditionsmonitor & optimize asset performances

Advanced AnalyticsPrediction and prescription of actions in order to mitigate critical upsets or

out off spec through the process. Huge amount of data to be managed.


1.) Explore source data to identify relevant time series

• Data science teams have complete access to all data, PI AF template attributes, calculations, KPI’s, summary information, event frames etc

2.) Ingest only relevant time series into Big Data environment

• No need to perform utopic complete PI data ingestion into data lake• Only relevant PI Data updated every 5 minutes… • Reduced and efficient workload on PI server

3.) Start modelling with data from big data storage

• Common & official data sets are sourced through PI AF to all A.I. models• Data scientists work in the same environment as used for data discovery• Results exposed to dashboards and Operations Teams via PI AF & PI Vision

Time to do steps 1,2 & 3 with PI AF same as time for just step 1 with raw historian data…a Data Infrastructure approach hugely accelerates Data Science and makes

results more successful!

How ENI train a model from PI System data


1. Project Scope





AGENDA


Green Data Center

Top‐down logic, drilling down and achieving a deep insight into the asset performance

Traffic light logic to quickly highlight any kind of upsets (adding an alert system able to deliver

notifications to specific users)


Production OW ‐ Overview

EquipmentCentrifugal compressors/trayed column/Asset Integrity

Flow AssuranceFlow pattern analysis Solids formation


PI VISION Display for & from End Users

All what a Control Room Operator need to have at his fingertips: around 230 Pi‐Points on this Pi Display

Nickname: «the monster»


Implementation of advanced analytics subset

Additional Information from a Predictive Model based on advanced analytics

Subset of «the monster»

focusing on specific parameters and including big data

predictions focusing on a section of the process and adding actions to

mitigate upsets


Focus on Energy Efficiency


On‐line Modeling


1. Project Scope





AGENDA


Key Enabling Factors

1. Integration 2. Flexibility 3. Data availability


Focused Tabular Data

Months Become Minutes!!! Greater success & accelerated ‘Time to Value’Meaningful,

Structured and Contextualiseddata …always available

All pre‐processing standardised

Everything Consistent & Centrally Managed

Reliable and Quality Data

Accelerating ‘Time to Value’ with OSIsoft PI


Field Macro Results

“The mix of production specialists know‐how, together with the power and flexibility offered by the new digital tools and Osisoftsolution allow to maximize processes efficiency.

It is now possible to anticipate process upsets, asset integrity issues or deviation from plant optimized parameters

The user friendly interface, the tools accuracy and the collaborative digital environment created are the key of the results achieved”

‐ Site Operation team ‐

It is fundamental to highlight that the field macro trends are a results

of several factors: operators sensibility improvement, digital tools, reinforcement of operators

team, changemanagement

Certification ISO 50001


THANK YOU

real time digital oilfield - osisoft...title microsoft powerpoint -...

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